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Hands-on experience with analytics and big data technologies within Microsoft Azure, with experiences in tools such as Azure Data Factory, Azure Machine Learning, Azure Cognitive Services, Azure Databricks and Azure Synapse Analytics.
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Progressive career experience as a software developer, data engineer, analytics engineer, or ML engineer. Solid computer science foundation including data structures, algorithms, and design patterns, with a proven track record of software design and architecture.
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Continuously improve knowledge and abilities in the areas of software and data engineering, statistical learning, and machine learning. This role will architect, implement, maintain, and enhance data solutions (data warehouse, ETL processes, custom-built software, web applications) that help create business strategies, help create new revenue streams, improve hockey and soccer operations, and help elevate athlete performance.
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Experience with one or more of the following: Machine Learning, Deep Learning, NLP, ranking systems, recommendation systems, backend, large-scale systems, data science, full-stack.
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Net, C#, Qlik, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Kinesis, QuickSight, SageMaker, S3, Databricks, AWS Lake Formation, Snowflake, Python, Qlik, Athena, Data Pipeline, Glue, Star Schema, Data Modeling, Performance Tuning, SQL Individual salaries that are offered to a candidate are determined after consideration of numerous factors including but not limited to the candidate’s qualifications, experience, skills, and geography.
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Manage services from Public Cloud Hyperscalers like Microsoft Azure, Amazon AWS, Oracle OCI, Google GCP, and Alibaba Cloud on services like Cloud Compute, Storage Services, Data Services, DevOps, CI/CD, MicroServices, Service Mesh, Containerization, Artificial Intelligence, Machine Learning platforms and End-to-End Observability.
$185,000 - $205,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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This role will implement, maintain, and enhance data solutions (data warehouse, ETL processes, custom-built software, web applications) that help create business strategies, help create new revenue streams, improve soccer operations, and help elevate athlete performance.
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In Support Product we build highly available and scalable, Machine Learning driven products that integrate with the broader Cash App ecosystem to help customers solve their problems. The team currently consists of server engineers, designers, and product management, machine learning modelers and applied machine learning engineers located in Australia and the United States.
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We develop cutting edge sensors and mission systems, high bandwidth communication systems, large-scale simulation systems, space and satellite systems, avionics virtual machines as part of high fidelity digital twins that will improve the future of software development, airplane and flight controls, cyber security solutions, artificial intelligence, machine learning, and much more.
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Performs basic trial runs to check accuracy of machine settings or programmed control data. The Production Machine Operator individual performs the basic set up and operates automatic machines in accordance with established shop practices.
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The Maintenance Engineer is responsible for assisting with the operation maintenance service and repair of equipment as assigned. We are within walking distance of many corporate offices such as Northrop Grumman, Raytheon, AT&T, Chevron and Mattel.
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Proficiency in programming languages such as R, Python, and SQL, with experience in data analysis and machine learning tools like PyTorch, Pandas, scikit-learn, Tensorflow, or similar.
$115,830 - $129,279 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Ring Data Management is seeking a self-directed System Development Engineer to develop and operate our AWS cloud data processing systems. The Quick Action Service team sifts through petabytes of data per week to extract top-line business metrics around customer experience, operational excellence, and incident response.
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As a Data Integration Engineer, you will work closely with data analysts, data scientists, and other stakeholders to ensure the efficient extraction, transformation, and loading of data from various sources into our data warehouse.
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Professional or project experience with FEMAP, ANSYS, or similar finite element analysis (FEA) software tools, as well as a good understanding of fatigue, fracture, and crack propagation. Senior Propulsion Engineer Level III: $150,000-180,000.
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